Senior Data Modeler

• Identify and define data requirements for data distribution/consumption use cases required by

enterprise healthcare customers to include:

• Knowledge of data modeling, data integrity principles, and SQL.

• Attributes, metrics, lookup/reference data required for Data Marts (e.g.: Risk Adjustment) and be

able to explain to engineering:

• Data orientations/organization of the data required to build an ETL pipeline.

• Core vs. ancillary attributes/metrics in our lossless canonical models

• Expected cardinality vs. outlier ranges for attributes/metrics.

• Attributes and calculations required to define healthcare industry metrics/KPI/KQIs.

• Typical queries users would ask of the data: Facts, Dimensions, JOINs

• Data delivery patterns using complex events or business rules.

• Data enrichment (standardization, transformations, algorithms, grouping)

• Guaranteed data quality criteria required to meet specific SLAs to include data federation with

business-specific, governed data sources within an enterprise.

• Work with Engineering to manage, groom, and prioritize the product feature backlog to include

creating epics and acceptance criteria.

• Help define Abacus data distribution implementation practices o Partner with health plan service

providers to define and drive adoption of Abacus data distribution APIs/SDK

• Work with Client Management for product support during client engagements

Terrific if you have experience:

• In a Product Role with:

• Analyzing, visioning and road-mapping

• Influencing and evangelizing key stakeholders (customers, partners, thought leaders, senior

management)

• Agile, story writing, grooming, prioritizing, planning, showcasing, and delivering MVP.

• In a Technical Role with:

• Healthcare IT

• Data analysis, modeling, and administration in cloud technologies

• APIs/SDKs, business rules processing, data federation, and data distribution technologies

• Working with Engineering teams in highly technical environments

• Bachelor’s degree in computer science, information systems, analytics, or related field, and/or

equivalent